SOTAVerified

Computational Efficiency

Methods and optimizations to reduce the computational resources (e.g., time, memory, or power) needed for training and inference in models. This involves techniques that streamline processing, optimize algorithms, or leverage hardware to enhance performance without compromising accuracy.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 176–200 of 4891 papers

TitleStatusHype
A New Deep-learning-Based Approach For mRNA Optimization: High Fidelity, Computation Efficiency, and Multiple Optimization FactorsCode0
DeepRTE: Pre-trained Attention-based Neural Network for Radiative TranferCode0
Learning Interpretable Differentiable Logic Networks for Tabular Regression—0
Learning to Search for Vehicle Routing with Multiple Time Windows—0
AMBER: Adaptive Mesh Generation by Iterative Mesh Resolution PredictionCode0
LeMoRe: Learn More Details for Lightweight Semantic SegmentationCode0
Neural Interpretable PDEs: Harmonizing Fourier Insights with Attention for Scalable and Interpretable Physics DiscoveryCode1
CURVE: CLIP-Utilized Reinforcement Learning for Visual Image Enhancement via Simple Image Processing—0
THINK-Bench: Evaluating Thinking Efficiency and Chain-of-Thought Quality of Large Reasoning Models—0
Improving Out-of-Distribution Detection with Markov Logic Networks—0
Improving QA Efficiency with DistilBERT: Fine-Tuning and Inference on mobile Intel CPUs—0
NGPU-LM: GPU-Accelerated N-Gram Language Model for Context-Biasing in Greedy ASR Decoding—0
Target Localization with Coprime Multistatic MIMO Radar via Coupled Canonical Polyadic Decomposition Based on Joint Eigenvalue Decomposition—0
CPINN-ABPI: Physics-Informed Neural Networks for Accurate Power Estimation in MPSoCs—0
ZigzagPointMamba: Spatial-Semantic Mamba for Point Cloud Understanding—0
A False Discovery Rate Control Method Using a Fully Connected Hidden Markov Random Field for Neuroimaging DataCode0
Dissecting Physics Reasoning in Small Language Models: A Multi-Dimensional Analysis from an Educational Perspective—0
Taylor expansion-based Kolmogorov-Arnold network for blind image quality assessmentCode1
Visual Loop Closure Detection Through Deep Graph Consensus—0
NeuralOM: Neural Ocean Model for Subseasonal-to-Seasonal SimulationCode3
DiMoSR: Feature Modulation via Multi-Branch Dilated Convolutions for Efficient Image Super-ResolutionCode1
Leveraging Diffusion Models for Parameterized Quantum Circuit Generation—0
Project Riley: Multimodal Multi-Agent LLM Collaboration with Emotional Reasoning and Voting—0
Byzantine-Resilient Distributed P2P Energy Trading via Spatial-Temporal Anomaly Detection—0
Foundation Model for Wireless Technology Recognition Using IQ Timeseries—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified